6 Week Python with ML

★★★★★ (334 Reviews)

Master Python for Machine Learning with hands-on training. Learn data preprocessing, algorithms, and model building to excel in AI-driven applications and projects.

₹4999/-            Duration: 6 Weeks   

6 Week Python with ML
Why Learn C++ DSA?

Enhance algorithm skills using C++ DSA

Efficient Problem-Solving
Efficient Problem-Solving Skills

C++ DSA improves logic, problem-solving, and coding skills for complex challenges.

High Performance and Speed
High Performance and Speed

C++ offers fast execution, memory efficiency, ideal for competitive programming and system applications.

Essential for Coding Interviews
Essential for Coding Interviews

Top tech companies assess C++ DSA skills in interviews, essential for securing high-paying jobs.

Foundation for Advanced Technologies
Foundation for Advanced Technologies

Mastering C++ DSA builds a strong foundation for machine learning and development.

Training Curriculum

Master Skills with Detailed Curriculum

  • Overview of Python for data science
  • Setting up Python environment
  • Basics of Machine Learning concepts

  • NumPy and Pandas for data manipulation
  • Matplotlib and Seaborn for data visualization
  • Introduction to Scikit-learn

  • Handling missing data
  • Feature scaling and normalization
  • Data splitting techniques

  • Linear and logistic regression
  • Decision trees and random forests
  • Model evaluation metrics

  • Clustering techniques (K-Means, Hierarchical)
  • Dimensionality reduction (PCA)
  • Anomaly detection methods

  • Introduction to model deployment
  • Building a complete ML project
  • Testing and presentation
Summer Training Enquiry Form
7851
Job Assistance
Job Assistance Program

What placement assistance will you receive?

Free Placement Prep Training
Free Placement Prep Training

Learn how to build your resume, make great applications, and ace your interviews.

Curated Internships & Jobs
Curated Internships & Jobs

Get internships and fresher jobs as per your preference in your inbox.

Get highlighted
Get highlighted on Bsates Edtech

Top performers will be highlighted in their internship & job applications.

Training Highlights

How will your training work?

Learn Concepts
Learn Concepts

Go through training modules to learn and grasp essential concepts effectively.

Test Yourself
Test Yourself

Test your knowledge through quizzes & module tests at regular intervals.

Hands-on Practice
Hands-on Practice

Work on assignments and projects. Use our in-browser IDE for coding practice.

1:1 Doubt Solving
1:1 Doubt Solving

Get your doubts solved by experts through Q&A forum within 24 hours.

Take Final Exam
Take Final Exam

Successfully complete your training by preparing for and taking the final exam.

Get Certified
Get Certified

Earn your certification after successfully completing the training program.

COURSE CURRICULUM

Master Skills with Detailed Curriculum

1
Module 1: Introduction to Python and Machine Learning
Overview of Python for data science Setting up Python environment Basics of Machine Learning concepts
2
Module 2: Python Libraries for ML
NumPy and Pandas for data manipulation Matplotlib and Seaborn for data visualization Introduction to Scikit-learn
3
Module 3: Data Preprocessing
Handling missing data Feature scaling and normalization Data splitting techniques
4
Module 4: Supervised Learning Algorithms
Linear and logistic regression Decision trees and random forests Model evaluation metrics
5
Module 5: Unsupervised Learning Algorithms
Clustering techniques (K-Means, Hierarchical) Dimensionality reduction (PCA) Anomaly detection methods
6
Module 6: Model Deployment and Project
Introduction to model deployment Building a complete ML project Testing and presentation

Frequently Asked Questions

This course teaches Python programming and Machine Learning fundamentals, covering data preprocessing, algorithms, deep learning, and model deployment for real-world applications.

Anyone interested in AI, data science, or ML, including students, professionals, and beginners with basic programming knowledge.

Basic Python knowledge is helpful but not mandatory, as the course covers Python fundamentals before diving into ML concepts.

The course includes Python basics, data preprocessing, supervised and unsupervised learning, deep learning, NLP, time series analysis, and model deployment.

The course typically lasts 6 to 12 weeks, depending on learning pace and practice.

Yes, you’ll earn a Python with ML certification upon successful completion, which can enhance your resume.

Yes, the training includes real-world projects, including image classification, recommendation systems, and time series forecasting.

It equips you with in-demand ML skills, helping you land jobs in AI, data science, and software development.

You can register online through the course provider’s website and start learning immediately.

About Us

At Bsates , we empower students and professionals with industry-ready skills through expert-led training in Web Development, Data Science, Programming, Cloud Computing, Machine Learning, and more. Our mission is to bridge the gap between learning and real-world application, helping you build a successful tech career.

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